大数据时代下敏感个人信息保护的路径完善

Improving the Path for Protecting Sensitive Personal Information in the Era of Big Data

摘要: 随着数据分析技术愈发成熟，个人信息面临着前所未有的挑战。其中，敏感个人信息较一般个人信息需要采取更加严格的保护措施。为了对敏感个人信息精准保护，应当以法律条文静态列举与特定情景动态判断为主要的判断方法，明确哪些个人信息属于敏感个人信息。此外，以保护个人信息、促进信息流通、实现经济效益最大化为基本原则，在现有法律保护的基础上提出完善“告知同意”这一关键措施：提高“告知同意”的标准、建构不同的“告知同意”结果。并且提出应对敏感个人信息进行再分级，对不同层级的敏感信息施以不同的保护手段，提高保护效率，推动大数据时代下的信息利用。

Abstract: With the maturity of data analysis technology, personal information is facing unprecedented challenges. Among them, sensitive personal information requires stricter protection measures compared to general personal information. In order to accurately protect sensitive personal information, the main judgment methods should be static listing of legal provisions and dynamic judgment of specific situations, to clarify which personal information belongs to sensitive personal information. In addition, based on the basic principles of protecting personal information, promoting information circulation, and maximizing economic benefits, this paper proposes the key measures to improve “informed consent” on the basis of existing legal protection: improve the standard of “informed consent”, and construct different “informed consent” results. And it is proposed to re classify sensitive personal information, apply different protection methods to different levels of sensitive information, improve protection efficiency, and promote information utilization in the era of big data.